148 lines
7.1 KiB
Python
148 lines
7.1 KiB
Python
import torch
|
|
|
|
from .imagefunc import *
|
|
|
|
NODE_NAME = 'MaskGradient'
|
|
|
|
class MaskGradient:
|
|
|
|
def __init__(self):
|
|
pass
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(self):
|
|
side = ['top', 'bottom', 'left', 'right']
|
|
return {
|
|
"required": {
|
|
"mask": ("MASK",),
|
|
"invert_mask": ("BOOLEAN", {"default": True}), # 反转mask
|
|
"gradient_side": (side,),
|
|
"gradient_scale": ("INT", {"default": 100, "min": 1, "max": 9999, "step": 1}),
|
|
"gradient_offset": ("INT", {"default": 0, "min": -9999, "max": 9999, "step": 1}),
|
|
"opacity": ("INT", {"default": 100, "min": 0, "max": 100, "step": 1}),
|
|
},
|
|
"optional": {
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES = ("MASK",)
|
|
RETURN_NAMES = ("mask",)
|
|
FUNCTION = 'mask_gradient'
|
|
CATEGORY = '😺dzNodes/LayerMask'
|
|
OUTPUT_NODE = True
|
|
|
|
def mask_gradient(self, mask, invert_mask, gradient_side, gradient_scale, gradient_offset, opacity, ):
|
|
|
|
if mask.dim() == 2:
|
|
mask = torch.unsqueeze(mask, 0)
|
|
|
|
l_masks = []
|
|
ret_masks = []
|
|
|
|
for m in mask:
|
|
if invert_mask:
|
|
m = 1 - m
|
|
l_masks.append(tensor2pil(torch.unsqueeze(m, 0)).convert('L'))
|
|
|
|
for i in range(len(l_masks)):
|
|
_mask = l_masks[i]
|
|
_canvas = copy.copy(_mask)
|
|
width = _mask.width
|
|
height = _mask.height
|
|
_gradient = gradient('#000000', '#FFFFFF',
|
|
_mask.width, _mask.height, 0)
|
|
(box_x, box_y, box_width, box_height) = min_bounding_rect(_mask)
|
|
if box_width < 1 or box_height < 1:
|
|
log(f"Error: {NODE_NAME} skipped, because the mask is does'nt have valid area")
|
|
return (mask,)
|
|
|
|
if gradient_side == 'top':
|
|
boxsize = (width, box_height)
|
|
_gradient = _gradient.transpose(Image.FLIP_TOP_BOTTOM)
|
|
_gradient = _gradient.resize(boxsize)
|
|
_black = Image.new('RGB', size = boxsize, color = 'black')
|
|
if gradient_scale != 100:
|
|
_box = Image.new('RGB', size = boxsize, color = 'black')
|
|
_gradient = _gradient.resize((width, int(box_height * gradient_scale / 100)))
|
|
_box.paste(_gradient, box = (0, 0))
|
|
_gradient = _box
|
|
if gradient_offset != 0:
|
|
_box = Image.new('RGB', size = boxsize, color = 'black')
|
|
_boxwhite = Image.new('RGB', size = boxsize, color = 'white')
|
|
_box.paste(_gradient, box=(0, gradient_offset))
|
|
_box.paste(_boxwhite, box = (0, gradient_offset - _box.height))
|
|
_gradient = _box
|
|
if gradient_offset > box_height:
|
|
_gradient = Image.new('RGB', size = boxsize, color = 'white')
|
|
_canvas.paste(_black, box = (0, box_y), mask = _gradient.convert('L'))
|
|
elif gradient_side == 'bottom':
|
|
boxsize = (width, box_height)
|
|
_gradient = _gradient.resize((width, box_height))
|
|
_black = Image.new('RGB', size = boxsize, color = 'black')
|
|
if gradient_scale != 100:
|
|
_box = Image.new('RGB', size = boxsize, color = 'black')
|
|
_gradient = _gradient.resize((width, int(box_height * gradient_scale / 100)))
|
|
_box.paste(_gradient, box = (0, box_height - _gradient.height))
|
|
_gradient = _box
|
|
if gradient_offset != 0:
|
|
_box = Image.new('RGB', size = boxsize, color = 'black')
|
|
_boxwhite = Image.new('RGB', size = boxsize, color = 'white')
|
|
_box.paste(_gradient, box=(0, gradient_offset))
|
|
_box.paste(_boxwhite, box = (0, gradient_offset + _box.height))
|
|
_gradient = _box
|
|
if gradient_offset < -box_height:
|
|
_gradient = Image.new('RGB', size=boxsize, color='white')
|
|
_canvas.paste(_black, box = (0, box_y), mask = _gradient.convert('L'))
|
|
elif gradient_side == 'left':
|
|
boxsize = (box_width, height)
|
|
_gradient = _gradient.transpose(Image.ROTATE_270)
|
|
_gradient = _gradient.resize(boxsize)
|
|
_black = Image.new('RGB', size = boxsize, color = 'black')
|
|
if gradient_scale != 100:
|
|
_box = Image.new('RGB', size = boxsize, color = 'black')
|
|
_gradient = _gradient.resize((int(box_width * gradient_scale / 100), height))
|
|
_box.paste(_gradient, box = (0, 0))
|
|
_gradient = _box
|
|
if gradient_offset != 0:
|
|
_box = Image.new('RGB', size = boxsize, color = 'black')
|
|
_boxwhite = Image.new('RGB', size = boxsize, color = 'white')
|
|
_box.paste(_gradient, box=(gradient_offset, 0))
|
|
_box.paste(_boxwhite, box = (gradient_offset - _box.width, 0))
|
|
_gradient = _box
|
|
if gradient_offset > box_width:
|
|
_gradient = Image.new('RGB', size=boxsize, color='white')
|
|
_canvas.paste(_black, box = (box_x, 0), mask = _gradient.convert('L'))
|
|
elif gradient_side == 'right':
|
|
boxsize = (box_width, height)
|
|
_gradient = _gradient.transpose(Image.ROTATE_90)
|
|
_gradient = _gradient.resize(boxsize)
|
|
_black = Image.new('RGB', size = boxsize, color = 'black')
|
|
if gradient_scale != 100:
|
|
_box = Image.new('RGB', size = boxsize, color = 'black')
|
|
_gradient = _gradient.resize((int(box_width * gradient_scale / 100), height))
|
|
_box.paste(_gradient, box = (box_width - _gradient.width, 0))
|
|
_gradient = _box
|
|
if gradient_offset != 0:
|
|
_box = Image.new('RGB', size = boxsize, color = 'black')
|
|
_boxwhite = Image.new('RGB', size = boxsize, color = 'white')
|
|
_box.paste(_gradient, box=(gradient_offset, 0))
|
|
_box.paste(_boxwhite, box = (gradient_offset + _box.width, 0))
|
|
_gradient = _box
|
|
if gradient_offset < -box_width:
|
|
_gradient = Image.new('RGB', size=boxsize, color='white')
|
|
_canvas.paste(_black, box = (box_x, 0), mask = _gradient.convert('L'))
|
|
# opacity
|
|
if opacity < 100:
|
|
_canvas = chop_image(_mask, _canvas, 'normal', opacity)
|
|
ret_masks.append(image2mask(_canvas))
|
|
|
|
log(f"{NODE_NAME} Processed {len(ret_masks)} image(s).")
|
|
return (torch.cat(ret_masks, dim=0),)
|
|
|
|
NODE_CLASS_MAPPINGS = {
|
|
"LayerMask: MaskGradient": MaskGradient
|
|
}
|
|
|
|
NODE_DISPLAY_NAME_MAPPINGS = {
|
|
"LayerMask: MaskGradient": "LayerMask: MaskGradient"
|
|
} |